An Experimental and Modeling Study of CaCO3 Nucleation and Inhibition Under a Dynamic Oversaturation Regime with Implications for Energy Production from Subsurface Reservoirs

16 September 2024, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Energy production from subsurface reservoirs perturbs the equilibrium between fluids and the surrounding rocks. As the saturation increases, nucleation begins, forming a scale that is detrimental to production. Inhibitor addition for scale prevention is a common practice with significant economic and environmental costs. Traditional experiments to determine induction times (tind) and evaluate inhibitor efficiency are performed under constant oversaturation. Similarly, constant oversaturation is used in both the empirical and the classical nucleation theory modeling schemes used for scale prediction. Subsequently, experiments and models do not address the dynamic nature of oversaturation increase during energy production. We developed an experimental system for quantitative investigation of nucleation kinetics under a regime of dynamic oversaturation and a simple algorithm for determining tind from laser measurements. Using our system, we studied the precipitation kinetics of CaCO3 minerals at a pH of ~6.76, ionic strength of I = 1m, temperature range of 50-90 oC, and varying rates of oversaturation increase. We quantified the effect of a potent inhibitor (Polyamino Polyether Methylene Phosphonate; PAPEMP) on the tind and the forming solid phase. Finally, we developed a numerical model that explicitly accounts for the dynamic nature of oversaturation. Here, we present our experimental system, results, and modeling scheme. We show that for a given set of conditions, calcite induction occurs at a similar oversaturation, regardless of the rate at which oversaturation increases. Moreover, we show that PAPEMP retards CaCO3 nucleation at below ppm levels and that it has a temperature-dependent effect on polymorphism. Lastly, we suggest that expanding existing models such that: t_ind=f(∆SI)*f(static) Where f(ΔSI) is a function of oversaturation with time and f(static) are existing modeling schemes, adequately describe the dynamic nature of oversaturation and show a form of f(ΔSI) that provides an excellent fit with measured tind.

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